Inverse Airborne Optical Sectioning
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Abstract (arXiv)
We present Inverse Airborne Optical Sectioning (IAOS) an optical analogy to Inverse Synthetic Aperture Radar (ISAR). Moving targets, such as walking people, that are heavily occluded by vegetation can be made visible and tracked with a stationary optical sensor (e.g., a hovering camera drone above forest). We introduce the principles of IAOS (i.e., inverse synthetic aperture imaging), explain how the signal of occluders can be further suppressed by filtering the Radon transform of the image integral, and present how targets motion parameters can be estimated manually and automatically. Finally, we show that while tracking occluded targets in conventional aerial images is infeasible, it becomes efficiently possible in integral images that result from IAOS.
Key facts. Cited by 9 papers in the map (data through 7 Oct 2026). Builds on 9 of its 72 references that are in the map. First posted on arXiv 27 Jul 2022.
Builds on
9 of 72 references.
References · 9
- 2021An Autonomous Drone for Search and Rescue in Forests using Airborne Optical Sectioningcited by 31
- 2020Search and Rescue with Airborne Optical Sectioningcited by 20
- 2019A Statistical View on Synthetic Aperture Imaging for Occlusion Removalcited by 15
- 2020Fast Automatic Visibility Optimization for Thermal Synthetic Aperture Visualizationcited by 14
- 2020Pose Error Reduction for Focus Enhancement in Thermal Synthetic Aperture Visualizationcited by 13
- 2021Combined Person Classification with Airborne Optical Sectioningcited by 13
- 2021Through-Foliage Tracking with Airborne Optical Sectioningcited by 13
- 2022On the Role of Field of View for Occlusion Removal with Airborne Optical Sectioningcited by 6
- 2021Classification Of Automotive Targets Using Inverse Synthetic Aperture Radar Imagescited by 4
Built on by
Citing papers per year: 2022: 2; 2023: 3; 2024: 1; 2025: 2; 2026: 1.
9 papers.
- 2022Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensingcited by 9
- 2023Fusion of Single and Integral Multispectral Aerial Imagescited by 5
- 2023Stereoscopic Depth Perception Through Foliagecited by 3
- 2024An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetationcited by 3
- 2025DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imagingcited by 3
- 2025Through-Foliage Surface-Temperature Reconstruction for Early Wildfire Detectioncited by 2
- 2022Synthetic Aperture Sensing for Occlusion Removal with Drone Swarmscited by 1
- 2023Synthetic Aperture Anomaly Imagingcited by 0
- 2026Vision-Reasoning-Guided Occlusion Removal from Light Fieldscited by 0
- 2026Vision-Reasoning-Guided Occlusion Removal from Light Fields18 Jun 2026
- 2025Through-Foliage Surface-Temperature Reconstruction for Early Wildfire Detection16 Nov 2025
- 2025DeepForest: Sensing Into Self-Occluding Volumes of Vegetation With Aerial Imaging4 Feb 2025
- 2024An Autonomous Drone Swarm for Detecting and Tracking Anomalies among Dense Vegetation15 Jul 2024
- 2023Fusion of Single and Integral Multispectral Aerial Images29 Nov 2023
- 2023Stereoscopic Depth Perception Through Foliage24 Oct 2023
- 2023Synthetic Aperture Anomaly Imaging26 Apr 2023
- 2022Synthetic Aperture Sensing for Occlusion Removal with Drone Swarms30 Dec 2022
- 2022Evaluation of Color Anomaly Detection in Multispectral Images For Synthetic Aperture Sensing8 Nov 2022